Abstract: An image processing device, method, recording medium, and program where the device includes an image data continuity detector configured to detect continuity of image data made up of a plurality of pixels acquired by real world light signals being cast upon a plurality of detecting elements, and a real world estimating unit configured to estimate real world light signals by approximating image data with discontinuous functions.

Abstract: A memory device, a signal processing apparatus, and an image signal processing apparatus and signal processing methods configured to perform matching processing with a small amount of calculation and accurately detecting motion vectors, provided with a memory for converting by using a feature including a pixel value in a certain block range having a focused pixel at its center as an address based on information of a reference frame stored in a second frame memory; and a matching portion for reading storage information of the ME memory by using a feature of a focused pixel included in information of a current frame supplied from a first frame memory as a feature address, calculating a distance between the focused pixel in the current frame and a feature address (position coordinates) read from the ME memory, and detecting differential coordinates based on position information having the minimum distance from a plurality of candidates as motion vectors of the focused pixel.

Abstract: An image processing device, method, recording medium, and program and a learning device, where the learning device includes a computer configured to compute image data corresponding to light signals when the light signals corresponding to second image data pass through an optical low-pass filter and to output computed image data as first image data, a first tap extractor configured to extract a plurality of pixels corresponding to pixels of interest within the second image data from the first image data, and a learning unit configured to teach a predictor configured to predict pixel values of the pixels of interest from the pixel values of the plurality of pixels extracted by the first tap extractor.

Abstract: In a communication system having at least three communication devices communicating with each other, a seating-order determination device for generating seating-order information for information sent from each communication device and for transmitting the seating-order information to each communication device is provided. Each communication device controls the output position of each information according to the seating-order information to output the information sent from the other communication devices in a seating order corresponding to the seating-order information. The seating order is always automatically changed to the most appropriate condition according to the progress of a conference and the state of conversations to provide the user with a comfortable conference environment and a comfortable communication environment.

Abstract: A shooting-information-detecting section detects shooting information from an image pick-up section. A motion-detecting section detects a motion direction of an image on an overall screen based on a motion direction of the image pick-up section contained in the shooting information. A processing-region-setting section sets a processing region in at least any one of a predicted target image and a peripheral image thereof, which correspond to a target pixel in the predicted target image. A processing-coefficient-setting section sets a motion-blur-removing-processing coefficient that corresponds to the motion direction detected in the motion-detecting section. A pixel-value-generating section generates a pixel value that corresponds to the target pixel based on a pixel value of a pixel in the processing region set in the processing-region-setting section and the processing coefficient set in the processing-coefficient-setting section. Motion-blur-removing processing can be accurately performed.

Abstract: An image processing device and method, where the device includes a data continuity detector configured to detect data continuity of image data made up of a plurality of pixels acquired by light signals of a real world being cast upon a plurality of detecting elements each having spatio-temporal integration effects, and a real world estimating unit configured to generate a gradient of pixel values of the plurality of pixels corresponding to a position in one dimensional direction of spatio-temporal directions as to pixels of interest within the image data.

Abstract: An image processing device for processing images of background images and moving objects. A region specifying unit specifies a mixed region made up of a mixture of a foreground object component and a background object component, and a non-mixed region made up of one or the other of a foreground object component and a background object component, and outputs region information corresponding to the specifying results. A foreground/background separation unit separates the input image into foreground component images and background component images, corresponding to the region information. A separated image processing unit processes the foreground component images and background component images individually, corresponding to the results of separation.

Abstract: A motion-vector-setting section (31) sets a first motion vector in units of pixel in a target image. An exposure-time-ratio-setting section (32) sets in units of image an exposure time ratio that is a ratio between a time interval of the target image and a period of exposure time. A motion-blur-amount-setting section (33) sets a motion blur amount in units of pixel based on the exposure time ratio and the first motion vector. Based on the motion amount, a processing-region-setting section (36) sets processing regions as well as a processing-coefficient-setting section (37) sets processing coefficients. A pixel-value-generating section (38) generates pixel values that correspond to the target pixel from pixel values in the processing region and the processing coefficients. A motion-blur-adding section (41) adds a motion blur to an image containing the pixel value generated based on an input second motion vector and the first motion vector.

Abstract: A group of input image data is determined based on the distance between images of a number of representative faces, prepared from plural templates, and the input image data (correlative values C1 to C5). The number of representative faces is smaller than the number of the templates. An angle of the input image is calculated based on the so-determined group.

Abstract: An apparatus and method for generating a plurality of facial image templates for a plurality of face classes is provided. An input facial image and a plurality of facial image templates are received, where each facial image template of the facial image templates is previously generated for each face class of the face classes. A correlation between the input facial image and each facial image template is determined such that the input facial image is classified into one of the face classes based on the determined correlation between the input facial image and each facial image template. A plurality of facial image templates representing orientations of the input facial images is then generated.

Abstract: The present invention makes it possible to process at high speed the foreground component image and the background component image of picked up images on a network platform. A client computer 27 outputs information specifying image data desired to separate to a separation server 11. The separation server 11 obtains the specified image data from a storage server 18 and outputs it to a motion detecting server 12 to perform motion detection processing. Thereafter, the image data, motion vector and positional information are output to an area specifying server 13. The area specifying server 13 generates area information of the image data and outputs the area information to a mixture ratio calculating server 14 in addition to the image data, the motion vector and the positional information.

Abstract: An image processing device, method, and program capable of obtaining processing results which are even more accurate and even more precise as to events in the real world by taking into consideration the real world where data has been acquired. The image processing device may include a computer configured to calculate a product-sum coefficient and a recorder configured to record the product-sum coefficient. The image processing device may also include a data continuity detector, a recorder, and a real world estimating unit.

Abstract: An apparatus and method which takes into consideration the real world where data was acquired, and enables obtaining of processing results which are more accurate and more precise as to phenomena in the real world. A data continuity detecting unit detects the continuity of data of second signals, having second dimensions that are fewer than first dimensions had by first signals which are real world signals and are projected whereby a part of the continuity of the real world signals is lost, wherein the continuity to be detected corresponds to the continuity of the real world signals that has been lost. An actual world estimating unit estimates a real world image by estimating the continuity of the real world image that has been lost, based on the continuity of the data detected by the data continuity detecting unit.

Abstract: An image processing device, method, and a program capable of obtaining processing results which are even more accurate and even more precise as to events in the real world, taking into consideration the real world where data has been acquired. The image processing device may include a computer configured to compute a product-sum coefficient and a recorder configured to record the product-sum coefficient. In another embodiment, the image processing device may include a data continuity detector, a recorder, and a pixel extractor.

Abstract: A motion-vector detector determines the centroid of pixels on a reference frame that is identified with position information set in a database and associated with a feature address corresponding to a feature of a target pixel. The motion-vector detector detects, as a motion vector of the target pixel, a vector that has a starting point at a pixel on the reference frame which corresponds to the target pixel on a current frame and has an end point at the determined centroid. The present invention can be applied to an apparatus for generating a motion vector and allows prompt detection of a motion vector.

Abstract: An image processing apparatus and an image processing method capable of performing matching processing with a small amount of calculation and highly accurately detecting a motion vector, etc.

Abstract: The present invention enables the high speed processing of a foreground component image and a background component image associated with images received on a network platform. A client computer outputs information specifying image data to a separation server. The separation server then obtains the specified image data from a storage server and outputs it to a motion detecting server to perform motion detection processing. Thereafter, the image data, a motion vector, and positional information are output to an area specifying server. The area specifying server generates area information corresponding to the image data and outputs the area information to a mixture ratio calculating server in addition to the image data, the motion vector, and the positional information.

Abstract: An apparatus for detecting a mixed area in frames. An object extracting unit extracts a foreground object from an input image and generates an area-specified object formed of the foreground object and a value indicating that the foreground object belongs to a background area. A motion compensator compensates for the motion of the area-specified object based on a motion vector and positional information thereof. A subtracting unit subtracts the pixel value of a pixel belonging to a foreground object of a current frame from the corresponding pixel of the foreground object of a preceding frame, so as to obtain a frame difference between the pixels belonging to the foreground area. A threshold-value processor detects a mixed area based on the difference.

Abstract: An image processing device and method, where the device includes an image data continuity detector configured to detect data continuity of first image data made up of a plurality of pixels acquired by light signals of a real world being cast upon a plurality of detecting elements each having spatio-temporal integration effects, a real world estimating unit configured to generate signals approximating waveforms of the real world light signals from the data continuity in the first image data, and an image generator configured to convert the signal generated by the real world estimating unit into second image data.

Abstract: A data transmission server can cause identification information of a user who sent data and identification information of the user contained in the data to correspond to each other on one-to-one basis so as to prevent a person from transmitting data by pretending to be others. A memory stores client identification information for identifying the client and user identification information for identifying a user who operates the client, the client identification information and the user identification information being stored in correspondence to each other. The data received from the client is transmitted to the destination only when the client identification information of the client which transmits the data and the user identification information of the user contained in a header part and a data part of the data are stored in the memory in correspondence to each other.